Customer profiling for restaurants is now available as a hosted service.[1] The industry term is "unified guest profile".
"Imagine this: A guest walks into your hotel. The front desk greets them by name, already knows they prefer a room away from the elevator, and offers a complimentary drink, the same cocktail they ordered at your rooftop bar during their last stay. At breakfast the waiter suggests asks if the guest wants the usual omelet or the menu to try something new, and at checkout, they’re offered a late checkout because their flight doesn’t leave until 8 p.m.
That’s not sci-fi. That’s what happens when your guest data systems actually talk to each other."[2]
> Imagine this: A guest walks into your hotel. The front desk greets them by name, already knows they prefer a room away from the elevator, and offers a complimentary drink, the same cocktail they ordered at your rooftop bar during their last stay
> at checkout, they’re offered a late checkout because their flight doesn’t leave until 8 p.m
This would honestly be amazing. Most hotels I've seen don't even want to clean the room as often, and try to minimize the need for front-desk staff.
Everyone hand-wringing over this forgets that learning about you is one thing, but using it requires spending money on making the guest happy, and most businesses won't do that, so they won't pay to collect and process that info.
"Imagine this: A guest walks into your hotel. The front desk greets them by name, already knows they prefer a room away from the elevator, and offers a complimentary drink, the same cocktail they ordered at your rooftop bar during their last stay. At breakfast the waiter suggests asks if the guest wants the usual omelet or the menu to try something new, and at checkout, they’re offered a late checkout because their flight doesn’t leave until 8 p.m.
That’s not sci-fi. That’s what happens when your guest data systems actually talk to each other."[2]
[1] https://www.hungerrush.com/restaurant-marketing-loyalty/the-...
[2] https://www.hospitalitynet.org/explainer/4127923.html